Triple

T22690137
Position Surface form Disambiguated ID Type / Status
Subject A10BJ05 E561028 entity
Predicate firstCharacterMeaning P59026 FINISHED
Object A = Alimentary tract and metabolism LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: A = Alimentary tract and metabolism | Statement: [A10BJ05, firstCharacterMeaning, A = Alimentary tract and metabolism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstCharacterMeaning
Context triple: [A10BJ05, firstCharacterMeaning, A = Alimentary tract and metabolism]
  • A. associatedCharacterMeaning chosen
    Indicates that there is a relationship between a character and the meaning, interpretation, or concept that this character is intended to represent.
  • B. firstCharacteristicNumeralMeaning
    Indicates that the relationship specifies the meaning associated with the first characteristic numeral of an entity or concept.
  • C. firstLetter
    Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
  • D. firstCharacterType
    Indicates that the type or category of the first character in a sequence or string has a specified value.
  • E. firstCharacterRules
    Indicates that the entity associated with the first character in a sequence has authority, control, or priority over the others.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789a1fd08190bce5fa0babe695d3 completed April 29, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69ee62b2259c819091ed1387a748b9f3 completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:13 p.m.